Question.31 You are building a chatbot. You need to configure the chatbot to query a knowledge base. Which dialog class should you use? A. QnAMakerDialog B. AdaptiveDialog C. SkillDialog D. ComponentDialog |
31. Click here to View Answer
Answer: A
Question.32 HOTSPOT You develop an application that uses the Face API. You need to add multiple images to a person group. How should you complete the code? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. Hot Area: ![]() |
32. Click here to View Answer
Answer:

Box 1: Stream –
The File.OpenRead(String) method opens an existing file for reading.
Example: Open the stream and read it back.
using (FileStream fs = File.OpenRead(path))
Box 2: CreateAsync –
Create the persons for the PersonGroup. Persons are created concurrently.
Example:
await faceClient.PersonGroupPerson.CreateAsync(personGroupId, personName);
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/face/face-api-how-to-topics/how-to-add-faces
Question.33 HOTSPOT You are building a model that will be used in an iOS app. You have images of cats and dogs. Each image contains either a cat or a dog. You need to use the Custom Vision service to detect whether the images is of a cat or a dog. How should you configure the project in the Custom Vision portal? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. Hot Area: ![]() |
33. Click here to View Answer
Answer:

Box 1: Classification –
Incorrect Answers:
An object detection project is for detecting which objects, if any, from a set of candidates are present in an image.
Box 2: Multiclass –
A multiclass classification project is for classifying images into a set of tags, or target labels. An image can be assigned to one tag only.
Incorrect Answers:
A multilabel classification project is similar, but each image can have multiple tags assigned to it.
Box 3: General –
General: Optimized for a broad range of image classification tasks. If none of the other specific domains are appropriate, or if you’re unsure of which domain to choose, select one of the General domains.
Reference:
https://cran.r-project.org/web/packages/AzureVision/vignettes/customvision.html
Question.34 Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. You develop an application to identify species of flowers by training a Custom Vision model. You receive images of new flower species. You need to add the new images to the classifier. Solution: You add the new images, and then use the Smart Labeler tool. Does this meet the goal? A. Yes B. No |
34. Click here to View Answer
Answer: B
The model need to be extended and retrained.
Note: Smart Labeler to generate suggested tags for images. This lets you label a large number of images more quickly when training a Custom Vision model.
Question.35 You are designing a content management system. You need to ensure that the reading experience is optimized for users who have reduced comprehension and learning differences, such as dyslexia. The solution must minimize development effort. Which Azure service should you include in the solution? A. Azure AI Immersive Reader B. Azure AI Translator C. Azure AI Document Intelligence D. Azure AI Language |
35. Click here to View Answer
Answer: A